Literature DB >> 30597138

Blood-based protein biomarkers in breast cancer.

Cristina Núñez1.   

Abstract

Breast cancer (BCa) is a significant healthcare problem on women worldwide. Thus, early detection is very important to reduce mortality. Furthermore, better BCa prognosis could improve selection of patients eligible for adjuvant therapy. New markers for early diagnosis, accurate prognosis and prediction of response to treatment are necessary to improve BCa care. The present review summarizes important aspects of the potential usefulness of modern technologies, strategies, and scientific findings in proteomic research for discovery of breast cancer-associated blood-based protein biomarkers in the clinic.
Copyright © 2018. Published by Elsevier B.V.

Entities:  

Keywords:  Biomarker; Breast cancer; Plasma; Proteins; Serum; Subtypes; post-translational modifications

Mesh:

Substances:

Year:  2018        PMID: 30597138     DOI: 10.1016/j.cca.2018.12.028

Source DB:  PubMed          Journal:  Clin Chim Acta        ISSN: 0009-8981            Impact factor:   3.786


  10 in total

1.  Multichannel dual protein sensing using amphiphilic supramolecular assemblies.

Authors:  Jingjing Gao; Theeraphop Prachyathipsakul; S Thayumanavan
Journal:  Chem Commun (Camb)       Date:  2021-11-30       Impact factor: 6.222

2.  Breast cancer-associated skeletal muscle mitochondrial dysfunction and lipid accumulation is reversed by PPARG.

Authors:  Hannah E Wilson; David A Stanton; Stephanie Rellick; Werner Geldenhuys; Emidio E Pistilli
Journal:  Am J Physiol Cell Physiol       Date:  2021-01-13       Impact factor: 4.249

3.  Cyclic Peptide Mimotopes for the Detection of Serum Anti-ATIC Autoantibody Biomarker in Hepato-Cellular Carcinoma.

Authors:  Chang-Kyu Heo; Hai-Min Hwang; Won-Hee Lim; Hye-Jung Lee; Jong-Shin Yoo; Kook-Jin Lim; Eun-Wie Cho
Journal:  Int J Mol Sci       Date:  2020-12-19       Impact factor: 5.923

Review 4.  All That Glitters Is Not Silver-A New Look at Microbiological and Medical Applications of Silver Nanoparticles.

Authors:  Paweł Kowalczyk; Mateusz Szymczak; Magdalena Maciejewska; Łukasz Laskowski; Magdalena Laskowska; Ryszard Ostaszewski; Grzegorz Skiba; Ida Franiak-Pietryga
Journal:  Int J Mol Sci       Date:  2021-01-16       Impact factor: 5.923

5.  Cost-Sensitive KNN Algorithm for Cancer Prediction Based on Entropy Analysis.

Authors:  Chaohong Song; Xinran Li
Journal:  Entropy (Basel)       Date:  2022-02-08       Impact factor: 2.524

6.  Metabolic Features of Saliva in Breast Cancer Patients.

Authors:  Lyudmila V Bel'skaya; Elena A Sarf; Denis V Solomatin; Victor K Kosenok
Journal:  Metabolites       Date:  2022-02-10

Review 7.  Circulating proteins as predictive and prognostic biomarkers in breast cancer.

Authors:  Yannick Bidet; Nina Radosevic-Robin; Xavier Durando; Hugo Veyssière; Frederique Penault-Llorca
Journal:  Clin Proteomics       Date:  2022-07-11       Impact factor: 5.000

8.  Circulating immune cell populations related to primary breast cancer, surgical removal, and radiotherapy revealed by flow cytometry analysis.

Authors:  Alessandra Franzetti Pellanda; Curzio Rüegg; Sarah Cattin; Benoît Fellay; Antonello Calderoni; Alexandre Christinat; Laura Negretti; Maira Biggiogero; Alberto Badellino; Anne-Lise Schneider; Pelagia Tsoutsou
Journal:  Breast Cancer Res       Date:  2021-06-05       Impact factor: 6.466

9.  A Validation Study of a Multiple Reaction Monitoring-Based Proteomic Assay to Diagnose Breast Cancer.

Authors:  Yumi Kim; Un-Beom Kang; Sungsoo Kim; Han-Byoel Lee; Hyeong-Gon Moon; Wonshik Han; Dong-Young Noh
Journal:  J Breast Cancer       Date:  2019-12-10       Impact factor: 3.588

Review 10.  Electrochemical Nanobiosensors for Detection of Breast Cancer Biomarkers.

Authors:  Veronika Gajdosova; Lenka Lorencova; Peter Kasak; Jan Tkac
Journal:  Sensors (Basel)       Date:  2020-07-20       Impact factor: 3.576

  10 in total

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